SDET – JavaPython, Playwright, Microservices & CICD

Job Summary

Synechron is seeking a Quality Engineering Developer (SDET) with 7 years of experience to join its engineering-focused Quality Engineering team in India. This role is responsible for designing and building scalable quality engineering solutions across UI API integration event-driven and distributed system layers. The successful candidate will work closely with developers and architects to build quality into system design automate validation across the SDLC strengthen release readiness and support production excellence. The role contributes to business objectives by improving software reliability delivery confidence system observability and production quality across mission-critical platforms.

Software Requirements (Required and Preferred)

Required

• Java and/or Python: Expert-level proficiency in Java or Python including object-oriented programming data structures design patterns and maintainable software engineering practices.

• Playwright: Hands-on experience developing modern UI automation using Playwright.

• API Testing: Strong experience testing REST APIs microservices service integrations and distributed application interfaces.

• CI/CD Platforms: Experience embedding automated quality gates into CI/CD pipelines using TeamCity Jenkins GitHub or equivalent approved platforms.

• SQL: Strong proficiency in SQL for backend data validation test data management reconciliation and database verification.

• Automation Frameworks: Proven experience designing and building scalable automation frameworks from scratch across UI API integration and event-driven layers.

• BDD: Practical experience implementing maintainable Behavior-Driven Development solutions.

• Distributed Systems Testing: Experience validating microservices event-driven architectures high-availability systems and low-latency platforms.

• Performance and Reliability Testing: Experience with performance load stress and resilience testing.

• Observability and Production Diagnostics: Ability to use logs metrics traces and production telemetry to investigate issues and guide quality strategy.

• AI/GenAI Tools: Hands-on experience using AI or GenAI tools for test design automation development debugging and quality engineering workflows.

• AI Evaluation: Experience validating AI-generated code test cases automation and technical outputs.

• Prompt Engineering and Context Management: Practical experience creating effective prompts and managing context for AI-assisted engineering activities.

• Spec-Driven Development (SDD): Proven experience aligning specifications implementation and validation through Spec-Driven Development practices.

• Agents Skills and MCP Integrations: Experience using or developing Agents Skills and Model Context Protocol (MCP) integrations.

• Production Quality Ownership: Experience with release certification regression strategy production validation incident triage and root-cause analysis.

• Production Support: Willingness to support production releases including participation in on-call rotations.

Preferred

• Perfecto: Exposure to or experience with mobile and web application testing using Perfecto.

• Agentic Engineering: Understanding of agentic approaches applied to software development or quality engineering.

• JMeter: Experience with performance load or stress testing using JMeter.

• Advanced AI-Assisted QE: Experience embedding AI-assisted quality engineering workflows safely into CI/CD pipelines.

• Cloud and Platform Tools: Exposure to cloud-based environments observability platforms containerized systems or distributed application infrastructure.

• Test Reporting and Quality Analytics: Experience with automated test reporting quality dashboards release metrics and engineering productivity measures.

Overall Responsibilities

• Design develop and maintain scalable automation frameworks across UI API integration event-driven and distributed system layers.

• Act as a quality engineering architect by influencing system design testability observability reliability and release readiness.

• Embed automated quality gates into CI/CD pipelines to provide timely and actionable feedback throughout the software delivery lifecycle.

• Engineer quality solutions for microservices event-driven architectures high-availability platforms and low-latency systems.

• Develop maintainable automated tests using Java and/or Python Playwright REST API tools SQL BDD practices and appropriate testing frameworks.

• Validate application behavior across functional integration regression performance load stress resilience and production environments.

• Use AI and GenAI tools to accelerate test design automation development debugging test analysis and quality engineering activities.

• Evaluate AI-generated code tests prompts and technical outputs to confirm accuracy reliability maintainability security and suitability for use.

• Apply prompt engineering context management responsible AI practices and verification controls to AI-assisted QE workflows.

• Apply Spec-Driven Development to maintain alignment between specifications implementation automated validation and expected outcomes.

• Use and develop Agents Skills and MCP integrations to support safe and effective engineering and quality workflows.

• Analyze logs metrics traces and production telemetry to identify quality risks investigate failures and guide testing priorities.

• Own end-to-end production quality activities including release certification regression strategy production validation incident triage and root-cause analysis.

• Collaborate with developers architects product teams operations and other stakeholders to resolve technical issues and improve delivery outcomes.

• Support production releases and participate in on-call rotations as required.

• Maintain automation code test documentation quality reports release evidence technical standards and operational procedures.

• Improve engineering efficiency by reusing automation components reducing redundant test execution and considering responsible use of compute and infrastructure resources.

Technical Skills (By Category)

Programming Languages

Essential

• Expert-level Java and/or Python programming.

• Strong understanding of object-oriented programming data structures design patterns modular design exception handling and maintainable code practices.

• Ability to build automation frameworks and test utilities from the ground up.

• Experience writing reliable readable reusable and testable automation code.

Preferred

• Experience with additional scripting or programming languages used for test automation system integration or operational support.

• Experience developing utilities for test data generation service virtualization reporting or quality analytics.

Databases and Data Management

Essential

• Strong SQL proficiency for data validation backend verification reconciliation test data preparation and defect investigation.

• Ability to validate data across application services databases APIs event streams and integrated systems.

• Understanding of data consistency integrity completeness transaction behavior and data lifecycle considerations.

• Experience analyzing database results and identifying discrepancies between expected and actual system behavior.

Preferred

• Experience validating data in distributed high-volume or event-driven systems.

• Exposure to database performance testing data quality dashboards data profiling or test data management tools.

• Experience working with multiple database technologies.

Cloud Technologies

Essential

• Understanding of distributed application deployment service availability scalability and reliability in modern infrastructure environments.

• Ability to support testing and quality validation across development integration staging and production-like environments.

• Understanding of CI/CD service dependencies deployment configurations and environment-specific test execution.

Preferred

• Experience testing applications deployed on cloud platforms.

• Exposure to containerized applications orchestration platforms cloud observability and infrastructure automation.

• Experience validating cloud-native microservices event-driven systems or highly available platforms.

Frameworks and Libraries

Essential

• Playwright for modern UI automation.

• REST API and integration testing frameworks or utilities.

• Frameworks supporting Java and/or Python-based automation development.

• Practical and maintainable BDD implementations.

• Frameworks or tools for performance load stress and resilience testing.

• Tools or utilities for validating logs metrics traces and production telemetry.

Preferred

• JMeter for performance and load testing.

• Perfecto for mobile or web application testing.

• Frameworks supporting contract testing service virtualization event validation or distributed systems testing.

• Libraries for AI-assisted test generation evaluation automation or debugging.

Development Tools and Methodologies

Essential

• Experience building automation frameworks from scratch and scaling them for enterprise use.

• TeamCity Jenkins GitHub or equivalent CI/CD platforms with automated quality gates.

• Git or equivalent source control practices including branching merging pull requests and code review.

• Spec-Driven Development experience.

• Experience integrating automated tests into the SDLC and release process.

• Experience with functional integration regression performance load stress resilience and production validation testing.

• Experience with release certification incident triage root-cause analysis and on-call support.

• Hands-on use of AI/GenAI tools for test design automation coding debugging and quality analysis.

• Experience evaluating AI-generated code and tests and verifying AI outputs before use.

• Experience with prompt engineering context management Agents Skills and MCP integrations.

• Understanding of responsible AI usage and safe integration of AI-assisted QE workflows into CI/CD.

Preferred

• Experience with Agile/Scrum delivery practices and cross-functional engineering teams.

• Exposure to test reporting quality dashboards release metrics and engineering productivity analysis.

• Experience contributing to quality architecture engineering standards reusable frameworks and continuous improvement programs.

• Agentic understanding applied to software engineering or quality engineering.

Security Protocols

Essential

• Understanding of secure software development and secure test automation practices.

• Ability to protect credentials tokens test data service endpoints logs and other sensitive information within automation and CI/CD environments.

• Awareness of authentication authorization access control secure API communication and data protection requirements.

• Ability to validate security-relevant behavior and ensure quality gates do not introduce avoidable security risks.

• Understanding of responsible AI practices including privacy output verification access control traceability and safe use of AI-generated code and tests.

Preferred

• Exposure to security testing vulnerability validation threat modeling or security-focused quality gates.

• Experience integrating security scans compliance checks or policy controls into CI/CD pipelines.

• Familiarity with secure handling of production telemetry and incident data.

Experience Requirements

• Minimum 7 years of professional experience in Software Development Software Development Engineering in Test Quality Engineering or a closely related engineering discipline.

• Proven experience building automation frameworks from scratch and maintaining them for enterprise-scale applications.

• Strong hands-on experience with Java and/or Python Playwright REST API testing SQL CI/CD quality gates and BDD.

• Experience testing microservices distributed systems event-driven architectures high-availability platforms and low-latency systems.

• Demonstrated experience with performance load stress resilience regression integration and production validation testing.

• Experience using logs metrics traces and production telemetry for debugging and quality strategy.

• Proven experience with AI/GenAI-assisted test design automation development debugging AI output evaluation prompt engineering context management SDD Agents Skills and MCP integrations.

• Experience owning release certification regression strategy incident triage root-cause analysis and production quality.

• Experience supporting production releases and participating in on-call rotations is required.

• Experience in financial services technology or other mission-critical environments is preferred but not required unless relevant to the assigned project.

• Candidates may qualify through equivalent software engineering automation engineering reliability engineering or quality architecture experience where they can demonstrate comparable technical outcomes.

Day-to-Day Activities

• Design and develop automation frameworks and test solutions across UI API integration event-driven microservices and distributed system layers.

• Collaborate with developers architects product teams and operations through design reviews planning sessions defect triage release discussions and incident investigations.

• Execute and analyze functional regression performance load stress resilience and production validation tests while using telemetry to guide quality decisions.

• Maintain CI/CD quality gates evaluate AI-assisted outputs support release certification and on-call activities and make quality recommendations based on evidence risk and system behavior.

Qualifications

• Bachelors degree in Computer Science Information Technology Engineering or a related field; equivalent relevant professional experience may be considered.

• Minimum 7 years of experience in software engineering SDET quality engineering automation engineering or a related discipline.

• Demonstrated training or practical capability in Java/Python Playwright API testing SQL CI/CD distributed systems performance testing BDD and production quality practices.

• Training or certifications in automation cloud Agile delivery performance engineering security or AI-assisted software engineering are preferred but not required.

• Commitment to continuous professional development in quality architecture AI/GenAI SDD distributed systems observability secure engineering and emerging testing practices.

Professional Competencies

• Apply critical thinking and evidence-based problem-solving to identify quality risks investigate failures evaluate system behavior and determine root causes.

• Provide technical leadership by influencing testability automation architecture release readiness quality standards and engineering practices.

• Communicate quality risks test results release recommendations incidents technical decisions and improvement opportunities clearly with technical and non-technical stakeholders.

• Adapt to evolving architectures delivery models AI/GenAI capabilities automation tools production requirements and engineering priorities.

• Identify and implement innovative but maintainable approaches to automation observability AI-assisted QE resilience testing quality gates and production validation.

• Manage time and priorities across framework development test execution defect resolution release certification documentation stakeholder collaboration and on-call responsibilities.

SYNECHRONS DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity Equity and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger successful businesses as a global company. We encourage applicants from across diverse backgrounds race ethnicities religion age marital status gender sexual orientations or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements mentoring internal mobility learning and development programs and more.

All employment decisions at Synechron are based on business needs job requirements and individual qualifications without regard to the applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.

Candidate Application Notice